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Jiacen Xu
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Scalability vs. utility: Do we have to sacrifice one for the other in data importance quantification?
R Jia, F Wu, X Sun, J Xu, D Dao, B Kailkhura, C Zhang, B Li, D Song
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
442021
Adversarial attack generation empowered by min-max optimization
J Wang, T Zhang, S Liu, PY Chen, J Xu, M Fardad, B Li
Advances in Neural Information Processing Systems 34, 16020-16033, 2021
322021
Towards a unified min-max framework for adversarial exploration and robustness
J Wang, T Zhang, S Liu, PY Chen, J Xu, M Fardad, B Li
262019
An empirical and comparative analysis of data valuation with scalable algorithms
R Jia, X Sun, J Xu, C Zhang, B Li, D Song
192019
PROGRAPHER: An Anomaly Detection System based on Provenance Graph Embedding
F Yang, J Xu, C Xiong, Z Li, K Zhang
82023
Beyond adversarial training: Min-max optimization in adversarial attack and defense
J Wang, T Zhang, S Liu, PY Chen, J Xu, M Fardad, B Li
Nuclear Physics, Section A, 2019
72019
HOMESPY: The Invisible Sniffer of Infrared Remote Control of Smart TVs
K Huang, YT Zhou, K Zhang, J Xu, J Chen, D Tang, K Zhang
42023
A comprehensive study of dns operational issues by mining dns forums
X Liao, J Xu, Q Zhang, Z Li
IEEE Access 10, 110807-110820, 2022
42022
Design Factors of Maestro: A Serious Game for Robust AI Education
M Geleta, J Xu, M Loya, J Wang, S Singh, Z Li, S Gago-Masague
Proceedings of the 54th ACM Technical Symposium on Computer Science …, 2022
12022
Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics
J Xu, X Shu, Z Li
2024 IEEE Symposium on Security and Privacy (SP), 12-12, 2023
2023
Maestro: A Gamified Platform for Teaching AI Robustness
M Geleta, J Xu, M Loya, J Wang, S Singh, Z Li, S Gago-Masague
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15816 …, 2023
2023
On Adversarial Robustness of Point Cloud Semantic Segmentation
J Xu, Z Zhou, B Feng, Y Ding, Z Li
2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023
2023
Towards a unified min-max framework for adversarial exploration and robustness. arXiv: Learning
J Wang, T Zhang, S Liu, PY Chen, J Xu, M Fardad, B Li
2019
Scalability vs
R Jia, F Wu, X Sun, J Xu, D Dao, B Kailkhura, C Zhang, B Li, D Song
Utility: Do We Have to Sacrifice One for the Other in Data Importance …, 0
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